Marksheet Parser: A Proposed System for Automated Extraction, Visualization, and Analytics of Educational Results

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Authors: Ayush Gurav, Ruturaj Vishwamitre, Alark Mhatre, Soumya Dedhia, Sonali Kishore Pawar
Cited by: 0

Abstract

This paper proposes a Marksheet Parser system that automates the extraction, visualization, and analysis of student results from PDF marksheets such as SSC, CBSE, ICSE, and MSBTE. It uses PDFplumber for digital data extraction and OCR tools like Tesseract and PaddleOCR for scanned documents. The system generates interactive dashboards using Chart.js and provides analytics such as growth tracking to enhance academic transparency and reduce manual processing time.

Fields of Study & Subjects

Handwritten Text Recognition Techniques Online Learning and Analytics Engineering and Information Technology

Publication details

Journal / source
International Journal For Multidisciplinary Research
Volume
8
Issue
1
Publication date
26 February 2026
Language
EN